Precision Control of Autonomous Vehicle under Slip Using Artificial Neural Network
MC Harbor, O Abu, UC Ebere - International Journal of Research …, 2021 - ideas.repec.org
MC Harbor, O Abu, UC Ebere
International Journal of Research and Innovation in Applied Science, 2021•ideas.repec.orgThis work presents †œprecision control of autonomous vehicle under slip using artificial
neural networkâ€. The work was achieved using FCN LSTM slip dataset, dynamic model of
the vehicle, nonlinear slip model, feature extraction model, artificial neural network and
simulink. The neural network was trained using back propagation algorithm. The training
performance of the neural network was analyzed using a regression analyzer to evaluate
the training validation performance with slip estimation accuracy of 99%.
neural networkâ€. The work was achieved using FCN LSTM slip dataset, dynamic model of
the vehicle, nonlinear slip model, feature extraction model, artificial neural network and
simulink. The neural network was trained using back propagation algorithm. The training
performance of the neural network was analyzed using a regression analyzer to evaluate
the training validation performance with slip estimation accuracy of 99%.
This work presents “precision control of autonomous vehicle under slip using artificial neural network†. The work was achieved using FCN LSTM slip dataset, dynamic model of the vehicle, nonlinear slip model, feature extraction model, artificial neural network and simulink. The neural network was trained using back propagation algorithm. The training performance of the neural network was analyzed using a regression analyzer to evaluate the training validation performance with slip estimation accuracy of 99%.
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